Agentic AI and Agentic Large Language Relational Model
Details
## Details
Join us for an online event dedicated to exploring principles, tools and applications in the domain of Agentic AI and Agentic Large Language Relational Model (LLRM). Whether you're a beginner looking to dive into Agentic AI, this event will have something for everyone. We will discuss the role of Agentic AI and Agentic LLRM in today's world and the importance of various applications. Generative AI uses LLMs to generate text, images, videos along with other contents based on prompts. Agentic AI takes actions making decisions based on reasoning, interacting with external environment in order to reach certain objectives. Agentic AI can operate with a level of autonomy and intelligence based on structured query based meta level languages to add new levels of dimensions for reasoning. Agentic LLRM can make intelligent decisions regarding retrievals from any websites, any external or internal AI models, external/internal data sources along with real-time information retrieval from anywhere in the world to generate accurate and timely results.
Google Meet Link: ** Coming Soon **
(Time in Pacific Daylight Time (UTC-7), California (USA) time)
12:00 PM - 12:05 PM Introduction
12:05 PM - 12: 50 PM Session 1
Title: Agentic Large Language Relational Model (LLRM) and LLRM-SQL queries with CLAP implementation
Speaker: Dr. Shyam S Sarkar, Big Data Science Meetup Organizer
Abstract: This event is a continuation of the previous event for presentations with demo on different kinds of of Agentic LLRM-SQL queries, explanations about such complex queries along with executions of queries with results. There will be discussions about CLAP (Contrastive Language-Agent Pre-Training) system where certain command types are defined for dealing with creating agents, finding agents, executing agents etc: "CREATE AGENT", "FIND AGENT", "FIND AGENT DEFINITION", "EXECUTE AGENT", "GET LINK", and "EXECUTE QUERY". Each command is meant for certain type of agent related prompt(s) and/or Agentic LLRM-SQL query.
12:50 PM - 12:58 PM Q/A